About this role

▸about Coinbase — company background

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

As a Senior Software Engineer on the Data Platform team within the Platform group, you will help build the systems that centralize all of Coinbase's internal and third-party data. The Data Platform team makes it easy for teams across the company to access, process, and transform data for analytics, machine learning, and powering end-user experiences. You'll contribute to the full spectrum of our systems, from foundational data storage and processing to scalable pipelines, frameworks, and internal applications that make data efficiently available to every team at Coinbase.

What you'll do:

Own the design, development, and operation of foundational data services spanning cloud data warehouses, data lakes, orchestration (Airflow), batch processing (Spark, SQL), streaming (Kafka), query federation, and real-time event aggregation stores.

Build and maintain data integration and processing SDKs used by internal services and product teams throughout Coinbase to interact with the data platform reliably at scale.

Deliver self-service applications that empower users to manage, monitor, and troubleshoot their own data pipelines running on our platform infrastructure.

Architect end-to-end data security and observability services, including access controls across multiple storage and access layers, data quality tracking, dataset cataloging, lineage, and usage auditing.

Partner with data analysts, ML engineers, and security and compliance teams to convert functional requests into reusable, scalable patterns and assemble data microservices into platforms for critical business verticals.